Senior Data Engineer

2 days ago


Minneapolis, United States Talent Groups Full time

Job Description:

We are looking for a highly skilled Lead Developer with expertise in Python, Apache Spark, Azure Synapse, and Azure Data Engineering services to design and manage robust ETL pipelines and data processing solutions for AI/ML initiatives. This role will be critical in building and optimizing data workflows, leveraging Azure cloud technologies, and collaborating with cross-functional teams.

Key Responsibilities:

  • ETL Development & Data Processing: Design, implement, and maintain efficient ETL pipelines and data processing solutions to support AI/ML models and data analysis needs.
  • Azure Cloud Expertise: Utilize Azure services (Data Factory, SQL Pools, Spark Pools, Synapse) to build scalable and secure data workflows.
  • Data Warehouse Management: Architect and maintain data warehousing solutions on Azure to ensure optimized data storage and retrieval.
  • CI/CD Integration: Implement and manage CI/CD processes for data engineering pipelines, ensuring smooth and consistent deployments.
  • Cross-Functional Collaboration: Work closely with data scientists, engineers, and other stakeholders to understand data needs and align solutions to business goals.

Qualifications:

  • Technical Expertise:
  • Advanced skills in Python and Apache Spark for data processing.
  • Proficiency with Azure Data Engineering services, including Synapse, Data Factory, SQL Pools, Spark Pools, and ADLS Gen2.
  • Strong SQL knowledge and experience with data warehousing on Azure.
  • Additional Skills:
  • Experience with Data Science and Machine Learning frameworks.
  • Knowledge of Java, Kubernetes, and API development for enhanced data solutions.
  • Soft Skills:
  • Excellent collaboration skills, with experience working in cross-functional teams.
  • Strong problem-solving abilities and a focus on continuous improvement.


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